Computational Approaches for Aerospace Design: The Pursuit of Excellence

Computational Approaches for Aerospace Design: The Pursuit of Excellence

Author(s): Andy J. Keane, Prasanth B. Nair

Published Online: 30 JUN 2005

Print ISBN: 9780470855409

Online ISBN: 9780470855485

DOI: 10.1002/0470855487

About this Book

Over the last fifty years, the ability to carry out analysis as a precursor to decision making in engineering design has increased dramatically. In particular, the advent of modern computing systems and the development of advanced numerical methods have made computational modelling a vital tool for producing optimized designs.

This text explores how computer-aided analysis has revolutionized aerospace engineering, providing a comprehensive coverage of the latest technologies underpinning advanced computational design. Worked case studies and over 500 references to the primary research literature allow the reader to gain a full understanding of the technology, giving a valuable insight into the world's most complex engineering systems.

Key Features:

  • Includes background information on the history of aerospace design and established optimization, geometrical and mathematical modelling techniques, setting recent engineering developments in a relevant context.
  • Examines the latest methods such as evolutionary and response surface based optimization, adjoint and numerically differentiated sensitivity codes, uncertainty analysis, and concurrent systems integration schemes using grid-based computing.
  • Methods are illustrated with real-world applications of structural statics, dynamics and fluid mechanics to satellite, aircraft and aero-engine design problems.

Senior undergraduate and postgraduate engineering students taking courses in aerospace, vehicle and engine design will find this a valuable resource. It will also be useful for practising engineers and researchers working on computational approaches to design.

Table of contents

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  1. Part I: Preliminaries

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  2. Part II: Sensitivity Analysis and Approximation Concepts

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  3. Part III: Frameworks for Design Space Exploration

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  4. Part IV: Case Studies

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